We isolate complex technical problems so specialists can solve them without distraction.
RoboCilek isn’t just a technical prototype; it is a highly coordinated effort across hardware, software, quality planning, and business development. This aggressive cross-functional synergy is exactly how we move rapidly from raw field insights to a working autonomous harvesting reality.
We isolate complex technical problems so specialists can solve them without distraction.
Owning power, kinematics, communication, actuator logic, and system integration.
Driving the vision pipeline, machine learning, segmentation, and ripeness classification.
Leading QFD, customer discovery, positioning, and strategic product coherence.
AgriPick operates with a highly focused functional structure. Each major problem area gets deep specialist focus, while relentless cross-disciplinary coordination ensures the final robot is a perfectly integrated machine.
The physical realization layer. This team handles power electronics, embedded hardware, actuator interfacing, robotic arm feasibility, and critical low-level system integration.
The intelligence layer. This group focuses purely on perception, machine learning, and the high-level decision logic that makes autonomous selective harvesting possible.
The strategic anchor. This domain ensures that all technical work remains ruthlessly tied to real customer requirements, commercial viability, and entrepreneurial strategy.
Every critical layer of the RoboCilek architecture is owned by a specific engineering or strategic lead. Meet the minds building the future of autonomous harvesting.
Power Systems Lead
Owns the entire power architecture, PCB-based distribution, precision voltage regulation, and stable power delivery across all subsystems.
Robotic Arm Kinematics Lead
Masters inverse kinematics and workspace analysis, guaranteeing the arm safely and repeatedly hits target harvest positions.
Embedded Communication Lead
Commands UART communication, sensor-level integration, and the low-level embedded backbone for real-time data exchange.
Computer Vision Lead
Architects image preprocessing, instance segmentation, and the core vision logic driving our selective harvest decisions.
ML Integration Lead
Owns the end-to-end training, evaluation, deployment, and on-device optimization of our proprietary AI detection models.
Market Analysis Lead
Drives farmer interviews, customer discovery, competitive positioning, and the direct translation of field insights into product strategy.
Quality Planning Lead
Enforces QFD, documentation traceability, and total alignment between our technical progress, quality goals, and market demands.
In a highly complex system like RoboCilek, hardware, perception, control, and market logic constantly impact each other. We succeed because our integration decisions are entirely shared and transparent.
Responsibilities are strictly defined so hardware, software, and business development progress aggressively in parallel.
Daily coordination guarantees that no single subsystem is optimized at the expense of the overall robotic workflow.
Integration hurdles, fruit-quality risks, and adoption barriers are surfaced instantly, rather than discovered at the end of the line.
Our operational blueprint is designed to seamlessly transition into a scalable matrix model as we expand to new regions and product lines.
Our combined expertise covers the entire spectrum required to disrupt this industry: from deep machine learning and power electronics to boots-on-the-ground customer discovery.
Mastering complex motion sequencing, strict repeatability, and highly safe actuator behavior.
Building massive custom datasets, deploying instance segmentation, and solving visual robustness under greenhouse lighting.
Writing bulletproof serial communication, real-time control logic, and deterministic FSM designs.
Engineering smart battery configurations, voltage regulation, and perfectly stable mixed-load power delivery.
Executing strict QFD, ensuring absolute traceability, and locking technical features to genuine customer needs.
Conducting ruthless operational constraint analysis, market segmentation, and clear adoption feasibility modeling.
You’ve seen the minds behind the machine. Now, explore the exact technical architecture we’ve built, or dive into the business model that will push this technology into every greenhouse.